Failing to create successful products with sustained consumer preference?
Learn the benefits of a predictive framework and how Gastrograph AI improves upon traditional sensory methods used in CPG today
Traditional Sensory Systems
Gastrograph AI
Static Empirical Data
Traditional methods capture snapshot data with a short shelf life that continually requires new expensive testing.
Predictive Power
Once a product is profiled in Gastrograph, perception and preference predictions are automatically generated with minimal time and cost
Disposable Data
Data is usually structured in highly specific surveys that can only be used once, and are no longer useful when consumer preferences change
Compound Learning
Gastrograph AI is trained on all of your data, all of the time, and is constantly learning. Models are continuously updated and made more accurate
Guesswork
Traditional research methods require you to pre-determine the “right question to ask”. Retrospective analysis to draw new insights is not possible
Question Agnostic
Gastrograph AI can be continuously queried to answer new questions and “mined” for new insights
Low Fidelity Sensory Descriptors
Traditional analysis results in low-fidelity sensory descriptors that can be ambiguous and require qualitative interpretation
Actionable Formulation Insights
Gastrograph’s expert formulation tools help you translate consumer sensory descriptors into clear and actionable product enhancement insights
Gastrograph AI models people, products, and preferences. It learns how different cohorts of consumers around the world perceive flavor. It learns the flavors of individual products on the market in various countries, and it learns how to map those perceptions to those preferences. The AI can predict the perception of different demographics for other products anywhere in the world.
AI as a technology has enabled a deeper interpretation of small, medium, and large-sized data; Gastrograph AI learns from all of its (big) data to create a mathematical space for products to be analyzed.
Sensory data is slow to collect and is very expensive. When using the traditional method, the study intends to answer specific questions about a particular product, so the data collected is only used once and becomes useless. With Gastrograph, the data collected gets used for various projects and demographics; this allows you to reduce, reuse, and recycle data collection.
Create a better-tasting world
Get in touch to speak with our team so we can learn about the challenges you're facing.